Neel Somani has built a career that sits at the intersection of theory and practice. His work spans formal methods, mac ...

Active learning represents a transformative paradigm in machine learning, aimed at reducing the annotation burden by selectively querying the most informative data points. This approach leverages ...

Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known Heston option pricing model as a benchmark, researchers show that global ...

Scientists from Peking University conducts a systematic review of studies on integrating machine learning into statistical methods in disease prediction models. Researchers from Peking University have ...

Education is undergoing a revolutionary transformation in an era marked by rapid technological advancements. The technology of education, once a mere facilitator, now shapes how we learn, teach and ...

A research team from the Aerospace Information Research Institute of the Chinese Academy of Sciences (AIRCAS) has developed a ...

"Blended learning" means any form of learning that mixes methods, such as face-to-face coaching and self-paced, recorded and live, individual and group, etc. In this article, I will explore six key ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...

Methods of K-12 teaching encompass diverse strategies and techniques utilized by educators to engage students across different subjects and grade levels. What are the 5 methods of teaching? From ...

The IAEA has launched an innovative, interactive e‑learning course on approaches and methods to help countries perform prospective radiological environmental impact assessment (REIA). Nuclear ...